mirror of
https://github.com/datasciencescoop/Data-Visualization.git
synced 2021-05-12 19:42:19 +03:00
633 lines
171 KiB
Plaintext
633 lines
171 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"<!DOCTYPE html>\n",
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"<html>\n",
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"<body>\n",
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"<div align=\"center\">\n",
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"<h3>Prepared by Asif Bhat</h3>\n",
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" \n",
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"<h1>Data Visualization With Matplotlib</h1>\n",
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"\n",
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"<h3>Follow Me on - <a href=\"https://www.linkedin.com/in/asif-bhat/\">LinkedIn</a> <a href=\"https://mobile.twitter.com/_asifbhat_\">Twitter</a> <a href=\"https://www.instagram.com/datasciencescoop/?hl=en\">Instagram</a> <a href=\"https://www.facebook.com/datasciencescoop/\">Facebook</a></h3>\n",
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"</div>\n",
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"\n",
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"</div>\n",
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"</body>\n",
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"</html>"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib as mpl\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline "
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"#Graph Styling\n",
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"# https://tonysyu.github.io/raw_content/matplotlib-style-gallery/gallery.html\n",
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"plt.style.use('seaborn-darkgrid')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Bar Graphs"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 288,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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\n",
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {
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"needs_background": "light"
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},
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"output_type": "display_data"
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}
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],
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"source": [
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"#Simple Bar Chart\n",
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"id1 = np.arange(1,10)\n",
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"score = np.arange(20,110,10)\n",
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"plt.bar(id1,score)\n",
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"plt.xlabel('Student ID')\n",
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"plt.ylabel('Score')\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 289,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 576x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Changing color of the bar chart\n",
|
|
"id1 = np.arange(1,10)\n",
|
|
"score = np.arange(20,110,10)\n",
|
|
"plt.figure(figsize=(8,5)) # Setting the figure size\n",
|
|
"ax = plt.axes()\n",
|
|
"ax.set_facecolor(\"#ECF0F1\") # Setting the background color by specifying the HEX Code\n",
|
|
"plt.bar(id1,score,color = '#FFA726')\n",
|
|
"plt.xlabel(r'$Student $ $ ID$')\n",
|
|
"plt.ylabel(r'$Score$')\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 290,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 576x432 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"#Plotting multiple sets of data\n",
|
|
"x1= [1,3,5,7] \n",
|
|
"x2=[2,4,6,8]\n",
|
|
"y1 = [7,7,7,7]\n",
|
|
"y2= [17,18,29,40]\n",
|
|
"plt.figure(figsize=(8,6))\n",
|
|
"ax = plt.axes()\n",
|
|
"ax.set_facecolor(\"white\")\n",
|
|
"plt.bar(x1,y1,label = \"First\",color = '#42B300') # First set of data\n",
|
|
"plt.bar(x2,y2,label = \"Second\",color = '#94E413') # Second set of data\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 291,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 432x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Horizontal Bar Chart\n",
|
|
"Age = [28,33,43,45,57]\n",
|
|
"Name = [\"Asif\", \"Steve\", 'John', \"Ravi\", \"Basit\"]\n",
|
|
"plt.barh(Name,Age, color =\"yellowgreen\")\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 293,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"[]"
|
|
]
|
|
},
|
|
"execution_count": 293,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": "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\n",
|
|
"text/plain": [
|
|
"<Figure size 576x288 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Changing the width of Bars\n",
|
|
"num1 = np.array([1,3,5,7,9])\n",
|
|
"num2 = np.array([2,4,6,8,10])\n",
|
|
"plt.figure(figsize=(8,4))\n",
|
|
"plt.bar(num1, num1**2, width=0.2 , color = '#FF6F00')\n",
|
|
"plt.bar(num2, num2**2, width=0.2 , color = '#FFB300')\n",
|
|
"plt.plot()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 294,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
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"[]"
|
|
]
|
|
},
|
|
"execution_count": 294,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 720x432 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Displaying values at the top of vertical bars\n",
|
|
"num1 = np.array([1,3,5,7,9])\n",
|
|
"num2 = np.array([2,4,6,8,10])\n",
|
|
"plt.figure(figsize=(10,6))\n",
|
|
"plt.bar(num1, num1**2, width=0.3 , color = '#FF6F00')\n",
|
|
"plt.bar(num2, num2**2, width=0.3 , color = '#FFB300')\n",
|
|
"for x,y in zip(num1,num1**2):\n",
|
|
" plt.text(x, y+0.05, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
"for x,y in zip(num2,num2**2):\n",
|
|
" plt.text(x, y+0.05, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
"plt.plot()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 295,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1152x576 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"x = np.arange(1,21)\n",
|
|
"plt.figure(figsize=(16,8))\n",
|
|
"y1 = np.random.uniform(0.1,0.7,20)\n",
|
|
"y2 = np.random.uniform(0.1,0.7,20)\n",
|
|
"\n",
|
|
"\n",
|
|
"plt.bar(x, +y1, facecolor='#C0CA33', edgecolor='white') #specify edgecolor by name\n",
|
|
"plt.bar(x, -y2, facecolor='#FF9800', edgecolor='white')\n",
|
|
"\n",
|
|
"for x,y in zip(x,y1):\n",
|
|
" plt.text(x, y+0.05, '%.2f' % y, ha='center' , va= 'bottom', fontsize = 10)\n",
|
|
" \n",
|
|
"plt.xlim(0,21)\n",
|
|
"plt.ylim(-1.25,+1.25)\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Stacked Vertical Bar"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 296,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 360x504 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.style.use('seaborn-darkgrid')\n",
|
|
"x1= ['Asif','Basit','Ravi','Minil'] \n",
|
|
"y1= [17,18,29,40]\n",
|
|
"y2 = [20,21,22,23]\n",
|
|
"plt.figure(figsize=(5,7))\n",
|
|
"plt.bar(x1,y1,label = \"Open Tickets\",width = 0.5,color = '#FF6F00')\n",
|
|
"plt.bar(x1,y2,label = \"Closed Tickets\",width = 0.5 ,bottom = y1 , color = '#FFB300')\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 297,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 360x504 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.style.use('seaborn-darkgrid')\n",
|
|
"x1= ['Asif','Basit','Ravi','Minil'] \n",
|
|
"y1= np.array([17,18,29,40])\n",
|
|
"y2 =np.array([20,21,22,23])\n",
|
|
"y3 =np.array([5,9,11,12])\n",
|
|
"plt.figure(figsize=(5,7))\n",
|
|
"plt.bar(x1,y1,label = \"Open Tickets\",width = 0.5,color = '#FF6F00')\n",
|
|
"plt.bar(x1,y2,label = \"Closed Tickets\",width = 0.5 ,bottom = y1 , color = '#FFB300')\n",
|
|
"plt.bar(x1,y3,label = \"Cancelled Tickets\",width = 0.5 ,bottom = y1+y2 , color = '#F7DC6F')\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Grouped Bar Chart"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 298,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 504x648 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
},
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"array([0, 1, 2, 3])"
|
|
]
|
|
},
|
|
"execution_count": 298,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Grouped Bar Chart\n",
|
|
"\n",
|
|
"plt.figure(figsize=(7,9))\n",
|
|
"\n",
|
|
"# set width of bar\n",
|
|
"barWidth = 0.25\n",
|
|
" \n",
|
|
"# set height of bar\n",
|
|
"y1= np.array([17,18,29,40])\n",
|
|
"y2 =np.array([20,21,22,23])\n",
|
|
"y3 =np.array([5,9,11,12])\n",
|
|
" \n",
|
|
"# Set position of bar on X axis\n",
|
|
"pos1 = np.arange(len(y1))\n",
|
|
"pos2 = [x + barWidth for x in pos1]\n",
|
|
"pos3 = [x + barWidth for x in pos2]\n",
|
|
"\n",
|
|
"# Make the plot\n",
|
|
"plt.bar(pos1, y1, color='#FBC02D', width=barWidth, label='Open')\n",
|
|
"plt.bar(pos2, y2, color='#F57F17', width=barWidth, label='Closed')\n",
|
|
"plt.bar(pos3, y3, color='#E65100', width=barWidth, label='Cancelled')\n",
|
|
"\n",
|
|
"# Add xticks on the middle of the group bars\n",
|
|
"plt.xlabel('Assignee', fontweight='bold')\n",
|
|
"plt.ylabel('Number of Tickets', fontweight='bold')\n",
|
|
"plt.xticks([i + barWidth for i in range(len(y1))], ['Asif', 'Basit', 'Ravi', 'Minil'])\n",
|
|
"\n",
|
|
"# Create legend & Show graphic\n",
|
|
"plt.legend()\n",
|
|
"plt.show()\n",
|
|
"np.arange(len(y1))"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Stacked Vertical Bar"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 299,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 576x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"plt.style.use('seaborn-darkgrid')\n",
|
|
"x1= ['Asif','Basit','Ravi','Minil'] \n",
|
|
"y1= [17,18,29,40]\n",
|
|
"y2 = [20,21,22,23]\n",
|
|
"plt.figure(figsize=(8,5))\n",
|
|
"plt.barh(x1,y1,label = \"Open Tickets\",color = '#FF6F00')\n",
|
|
"plt.barh(x1,y2,label = \"Closed Tickets\", left = y1 , color = '#FFB300')\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Displaying values in Bar Charts"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 300,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 360x504 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Displaying values in the stacked vertical bars using plt.text()\n",
|
|
"plt.style.use('seaborn-darkgrid')\n",
|
|
"x1= ['Asif','Basit','Ravi','Minil'] \n",
|
|
"y1= [17,18,29,40]\n",
|
|
"y2 = [20,21,22,23]\n",
|
|
"plt.figure(figsize=(5,7))\n",
|
|
"plt.bar(x1,y1,label = \"Open Tickets\",width = 0.5,color = '#FF6F00')\n",
|
|
"plt.bar(x1,y2,label = \"Closed Tickets\",width = 0.5 ,bottom = y1 , color = '#FFB300')\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"for x,y in zip(x1,y1):\n",
|
|
" plt.text(x, y-10, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
"\n",
|
|
"for x,y,z in zip(x1,y2,y1):\n",
|
|
" plt.text(x, y+z-10, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
" \n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 301,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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67N5771VkZKTCwsJUr149Va5c2ZulAgAkn5iSLm5Mxf8JlStX1qxZs9SvXz/16dNHFStW1DPPPKMff/xRq1evlmVZqlevnizL0rJly/TAAw/YUSYAAD7HtnPsDRo0UN++fRUTE6NDhw5p586dKl++vOrWrav4+HhVq1ZNvXr10rx589SmTRu7ygQAwKd47ar4K4qr4oGzuCoexYir4kuu803Fc4suAAAMQrADAGAQgh0AAIMQ7AAAGIRgBwDAIAQ7AAAGIdgBADAIwQ4AgEEIdgAADEKwAwBgEIIdAACDEOwAABiEYAcAwCAEOwAABiHYAQAwCMEOAIBBCHYAAAxCsAMAYBCCHQAAgxDsAAAYhGAHAMAgbrsLKA65s/J08uRpu8soMQIDPfTjF/SiKPpxFr0oin6YgxE7AAAGIdgBADAIwQ4AgEEuGuzr16/3Rh0AAKAYXDTYN2zYoKlTpyo/P98b9QAAgMtw0WBftmyZypUrp4ceekhJSUneqAkAAPxJFw12h8Oh0aNHq1+/fnrwwQf11ltv6dtvv1VmZqY36gMAAJfgD32P/dNPP9Xbb78tPz8/7dmzRxs2bNCBAwcUEBCgzZs3X+kaAQDAH3TRYO/YsaPCw8P1t7/9TW3bti2y7fjx41esMAAAcOkuGuxLlixReHj4ObeFhoYWe0EAAODPu+g59vOFOgAAKHm4QQ0AAAYx4iEwfmPcCra7iBLGyH50+nNvM7IXl6E09SMhItXuEgCvY8QOAIBBCHYAAAxCsAMAYBCCHQAAgxDsAAAYhGAHAMAgBDsAAAYh2AEAMAjBDgCAQQh2AAAMQrADAGAQgh0AAIMQ7AAAGIRgBwDAIAQ7AAAGIdgBADAIwQ4AgEHcdheAonadLKfZsVW1IuKIYlLL6undIXI5pXqeHE279oScDrsrREmSmy+NfytUcclu5eQ59VinJHW8JkOSNH19sOoH5+iBm07ZXCUAb2LEXoIsPVhZE7+rpuz8M+m98EAVDW6QrH+1+Vk5BQ79N76CzRWipNmwM0CBnnytGnJESx85oinvhig53aW/L62pT/bweQFKI4K9BKnjydWClkcLl5tWzNLJXKcsS8rId8rttGysDiVR12ZpGt41sXDZ5bSUke3Q0M5J6nF9mo2VAbALwV6CdAlNl9txNrzrVcjVtJgQ3fF5PSVluxQRlGljdSiJKpS15F/OUnqWQ8Neq6ERdySpdpU8NaubZXdpAGxCsJdg02KC9UbEz/qg/WHdXTNVz+0NtrsklEDHUtzq92Jt9bg+Vd1bMkoHSrsrHuxRUVG68cYb1bdvX/3f//2fevfurR9++OGS9jFkyBBJUmxsrL788ssrUWaJVMmvQP7uAklSSNl8pebydxiKSkxzqf+SmhrzlwT1iki1uxwAJYBXropv06aN5s6dK0naunWrZs6cqcWLF//h9y9cuFCS9OGHH6pq1apq3br1FamzpJl6zXGN/Ka63A5Lfk5LU645YXdJKGFe+jhIqZkuLfqoihZ9dGbd0kfiVM6P6zGA0srrX3dLTU1VzZo19b///a8wsLOysjRjxgzVqFFDw4cPV3p6urKysjRmzBhFRESobdu2Wrt2rd599135+fnp6quv1nXXXeft0r2ilidPq2/6WZLUKihLb974s80VoSSbeHeCJt6dcM5tQ7skebkaACWBV4J9x44d6tu3r3JychQbG6vFixdr//79mjVrlqpVq6aXXnpJH3zwgTp16qTExES9+uqrSkpK0uHDhwv3Ua1aNfXs2VNVq1Y1NtQBFK/AQM95t7lczgtuL23ox1m+3guvT8UfPHhQvXv31vTp0zVt2jR5PB6dOHFCLVu2VMOGDfXggw9q1KhRysvLU9++fb1RHgBDnTx5+rzbAgM9F9xe2tCPs3ylF8HBFc+53utT8VWrVpUkTZw4UR999JH8/f01duxYWZal2NhYZWRkaMmSJYqPj1fv3r116623Fr7X4XCooKDA2yUDAOAzvDoV73Q6lZGRoXHjxik2Nlb33XefAgICVLVqVcXHx6tevXp64YUXtG7dOvn5+WnYsGFF9nPNNddo5syZCg8PV5s2bbxROgAAPsVhWZbvXz47ghuolwqd7C4AvibhAl8B9JXpVm+hH2f5Si/ONxXPF6MBADAIwQ4AgEEIdgAADEKwAwBgEIIdAACDEOwAABiEYAcAwCAEOwAABiHYAQAwCMEOAIBBCHYAAAxCsAMAYBCCHQAAgxDsAAAYhGAHAMAgBDsAAAYh2AEAMAjBDgCAQQh2AAAMQrADAGAQgh0AAIO47S6gOOTOytPJk6ftLqPECAz00I9f0Iui6AdgPkbsAAAYhGAHAMAgBDsAAAYh2AEAMAjBDgCAQQh2AAAMQrADAGAQgh0AAIMQ7AAAGIRgBwDAIAQ7AAAGIdgBADCIEQ+B8RvjVrDdRZQwPtuPTsW/S5/txRXiq/1IiEi1uwTAJzBiBwDAIAQ7AAAGIdgBADAIwQ4AgEEIdgAADEKwAwBgEIIdAACDEOwAABiEYAcAwCAEOwAABiHYAQAwCMEOAIBBCHYAAAxCsAMAYBCCHQAAgxDsAAAYhGAHAMAgbrsLKI12nSyn2bFVtSLiiEZ+E6rE7DP/GeIy/dQsMFNzmx+3uUJ4W26+NP6tUMUlu5WT59RjnZLUIDRH4/4VKofDUsPQHD19T7yc/CkO4CIIdi9berCyNsQFqLyrQJIKQ/xUrlP9omrpqSYJdpYHm2zYGaBAT75m9TmulAynes6pqyY1sjXijkRFNMjUP94J0cd7/HX7tel2lwqghOPvfy+r48nVgpZHf7d+wf4q+r+6JxVSLt+GqmC3rs3SNLxrYuGyy2lpz5FyuiE8U5LUvkmGtu3z2FUeAB9CsHtZl9B0uR1WkXVJ2S5tT/LonlqpNlUFu1Uoa8m/nKX0LIeGvVZDI+5IkiXJ4fh1e4HSsvh1BXBx/J+iBPjguL/urJ4ml8PuSmCnYylu9Xuxtnpcn6ruLdPk/M0fgBnZTgWUL7CxOgC+wvZgX7Jkidq1a6fs7OwLvubbb79Vfn6+BgwYoAceeECnTp3yYpVX1vYkj9oHZ9hdBmyUmOZS/yU1NeYvCeoVcWbm5qqa2Yo6UF6StGVvBbWqf9rOEgH4CNsvnnvvvffUrVs3/fvf/9Y999xzztcMHDhQknT8+HGlpKRo7dq13izxijuUUUa1Pbl2lwEbvfRxkFIzXVr0URUt+ujMugl3x2vquyGas9GhsJAcdWnGhXMALs5hWZZ18ZddGVFRUXr99df1xBNPaMyYMVqzZo3eeOMNrVu3Tk6nUy1bttTYsWM1btw4devWTStWrNDOnTt155136plnnjm7oxHMYRujk90FoKRKiCjea1ACAz06eZJZkF/Rj7N8pRfBwRXPud7WEfvbb7+te++9V2FhYSpTpox27dqltWvXatKkSWrevLlWrVqlvLy8wtc//fTTGjVqVNFQB1AqBAYW77cCXC5nse/Tl9GPs3y9F7YF+6lTp7RlyxYlJydrxYoVSk9P18qVK/Xss89q+fLlmj17tpo3by4bJxQAlCDFPYLylVGZt9CPs3ylFyVuxL5hwwb99a9/1dixYyVJmZmZ6tixo/z9/TV58mSVLVtWAwYMUHR0tF0lAgDgc2y7Kv7tt99Wjx49CpfLly+vzp07q0qVKurVq5f69eunoKAgNWvWzK4SAQDwObZePFdsuHjOHFw8h/Pg4rkri36c5Su9ON9UvO3fYwcAAMXH9u+xAwBKruBpAcW6v4QJ3Dr7SiPYAQAlytGjcXrhhed16tQp5efnKTy8kR5/fKg8ngrFepxVq17Xtm1blZ6ersTEBNWrV1+S9M9//lMLFryg0aPHnfN9vXp11xtvvKOyZctecP/Z2dn68MNN6t797mKt+2IIdgBAiZGdnaVx40Zp7NhJuvrqayRJmza9r8jICZo58/liPVafPv3Up08/ff31V1q/fo0mT35W0plz7OcL9UuRnJyk995bR7ADAEqvbdu2qnnzloWhLkl33HGn3n33HcXFHdGrry6TZVmKjz+hzMzTmjjxGdWtW0/vvPOmNm/+jxwOhzp27Kx77+2tadMi5efnp+PHjykpKVHjx0eqceMmF60hLi5OI0eO1JIlr+qLLz7XK68slSQ1bNhYY8Y8Vfi6deve0f/+F6XIyGnas+c7LVmySC6XSzVq1NSTT07Q668v1+HDh/TKK0t1/fWttXDh83K73apYsaKefnpqsc9A/IqL5wAAJcbRo3GqWbPW79ZXr15DJ04clyTVrFlL8+e/pP79B2rRonk6dOigPv54sxYtWqZFi5bp88//q59+OixJCg2trjlzFuqvf71fGzZc2nNG8vLyNHfuTM2a9byWLXtdISEhio+PlyStWfOWdu36RlOmPCc/Pz/NmDFN06fP0sKFSxQcHKKNG99Tv379Va9efT388CP6/PPP1KHDrVq4cIn+8pceSk1Nu7xGXQAjdgBAiREcHKLvv9/zu/VHjvysatVCJUktW7aWJF1zTTPNnz9HBw/+oBMnjmv48MckSWlpaTpy5IikM6NsSQoJqabvvtt1SbWcOnVSFStWVOXKQZKkhx9+pHDbV1/9Ty6XSy6XSykpyUpKStSkSWem77Ozs3XDDW2K7Ktv34f1+uvLNXz4YwoODtFVV12jK4UROwCgxGjXroO++ipK33+/u3Dde++tU2Bg5cKRfGxsjCTpu+92qX79cNWpU1f16oVpwYLFWrhwibp1u1NhYQ0kSQ7Hn7/PSeXKQUpPT1dq6pnHhD///KzCup599p+qWDFA69a9o0qVAhUSEqLnnpujhQuX6KGH+qtly1ZyOJyyrAJJ0ubNm9St251asGCx6tcPu+TZg0vBiB0AcF7e/nqax+PRjBlzNX/+P5Waekp5eflq0KChIiOnFb5mx45t2rr1MxUUFGj8+KdVo0ZNtWrVWo8/PkA5Oblq2vRqBQcHX3YtTqdTo0aN1ZgxI+R0OtWoUWM1bXp14fYRI0brkUce0vXX36Dhw0drzJjhsixLHk8FTZo0WR5PBeXm5mnRovnq0OE2TZ0aKY/HI7fbrSefnHDZ9Z0Pd55DycKd53Ae3HnuyvKVfkybFqmOHTurTZubrtgxfKUX3HkOAIBSgKl4AIDPmDAh0u4SSjxG7AAAGIRgBwDAIAQ7AAAG4Rw7AOC8gqOK+eluxfztBvwewQ4AKFEOHvxBL744X1lZWcrMzNSNN7ZV//4DFR29s8jDWorLunXvKCkpSQMGPFq4bsGCuYqNjVFycpKysrJUo0ZNBQZW1kMP9dfWrVuK3IXut+66q4s2bPjPRY+ZmnpKO3ZsV+fOXYvt5/gVwQ4AKDHS0tIUGTle06bNUu3adZSfn69Jk8Zp/fo1qlOnntfqGDp0pCRp48b39OOPh/XYY0MLt/16m9rLceDAfn3xxWcEOwDAbFu3fqaWLVurdu06kiSXy6WJEyfLz8+vyL3eP/xwk1av/pf8/PxUu3YdPfnkBB09Gqfp0yfL7XYXvi84OEQvvbRQu3Z9rYICS/ff/6Buu62Tdu36RvPmzVZAQICcTleRp8ldyG8f8fr+++v07rtrVFCQr3btOhQZ8S9e/ILS09M1atST+vTTj/XWW2/I6XTquuua67HHhur115frwIH9Wr9+rQIDA7Vy5Wtyu92qXr2GJk6cLKfzz18CR7ADAEqMxMQE1ahRs8g6j8dTZPnUqZN6+eXFeuWVN+TxVND8+f/U+vVrJDnUuHETDR06Srt2RSstLVUHDuzXsWNxevHF5crOztajjz6s1q0jtGDBHEVGTlOdOnU1e/alT+2npCRr5crX9Npr/5KfXxktXDhXp0+fuVvdwoXPy+l06Iknxio19ZSWL1+sZctWqFy5cpoyZZK+/HKH+vXrr/Xr16hHj3s0ceJY3X9/H3Xq1EWbNr2vjIwMVax47rvK/RFcFQ8AKDGqVauu+PgTRdYdPRqnb775ushy/fphhc8zb9aspQ4dOqg77+yhSpUC9cQTQ7VmzWq5XG4dPHhAsbF7NWTIQD3xxFDl5eXp+PFjSkiIV506dSVJ117b7JLrjIuLU/364SpbtpycTqeGDXtCHo9HyclJ+uGH/Tp9OlNd2VNoAAAILElEQVTSmafSnTyZotGjh2nIkIE6dOiQ4uLiiuxr6NCR+uabaA0ZMlC7d38rp/PybpNuxIg9d1aeT9zX11t85T7H3kAviqIfKOnatm2nFSuWq2fPXqpZs5by8vK0YMFctW4doXr16kuSqlevqcOHDykzM1Ply5fXN998rdq162jr1s/UrFkL9e8/UJs3f6A33nhN7dvfohYtWmns2AkqKCjQq68uU82aNVWlShUdPnxI9erVV0zM95c8Qq5Zs5Z++umwcnJyVKZMGU2c+KSGDx+toKAqmjNnoYYOfVQ7dmxT48ZNFRJSTc8/v0hut1sbN76nhg0bKSMjQwUFZx7VsmHDuxowYKAqVw7SzJnTtGXLf3XHHXf+6R4aEewAgCvD219Pq1DBXxMmTNaMGVNVUFCg06dPq23bm9WzZy9FR++UJAUGBqp//0c1bNijcjicqlWrtgYNGqLExAQ988wkuVwuOZ1ODR06So0aNVZ09E49/vjflZl5Wu3b3/rL09emaNq0p+XxVJDH47nkYK9cubIefPAhDRkyUA6HQ23b3qzg4BBJZx4V+9RT/9CoUUO0ZMmruv/+BzVkyEDl5+erevUauu2225WWlqqDBw9o9epVatr0ao0YMViVKlWSx+PRTTe1u6weGvF0t9zcfEYhv8Go7Cx6URT9OIteFEU/zvKVXvB0NwAASgGCHQAAgxDsAAAYhGAHAMAgBDsAAAYh2AEAMAjBDgCAQQh2AAAMQrADAGAQI+48BwAAzmDEDgCAQQh2AAAMQrADAGAQn35sa0FBgSIjIxUbG6syZcpo6tSpqlu3rt1led2uXbs0e/ZsrVixQj/++KPGjRsnh8Ohhg0b6umnn5bTWTr+fsvNzdX48eMVFxennJwcPfbYY2rQoEGp7Ud+fr4mTpyoQ4cOyeVy6dlnn5VlWaW2H5KUlJSke+65R8uXL5fb7S7Vvbj77rsLH1Vaq1Yt3X///Zo2bZpcLpfatWunIUOG2Fyh9yxevFiffPKJcnNz9cADD+iGG27w7c+G5cP+85//WGPHjrUsy7Kio6OtQYMG2VyR9y1ZssS68847rXvvvdeyLMt69NFHrR07dliWZVmTJk2yPvzwQzvL86p33nnHmjp1qmVZlpWcnGx16NChVPdj8+bN1rhx4yzLsqwdO3ZYgwYNKtX9yMnJsR5//HGrc+fO1oEDB0p1L7KysqwePXoUWXfXXXdZP/74o1VQUGD9/e9/t3bv3m1Tdd61Y8cO69FHH7Xy8/Ot9PR0a/78+T7/2fChP0F+b+fOnbr55pslSc2bN9fu3bttrsj76tSpowULFhQu79mzRzfccIMkqX379tq2bZtdpXld165dNXz48MJll8tVqvvRqVMnTZkyRZJ09OhRVa1atVT3Y8aMGerdu7dCQkIkle7flb179yozM1P9+/dXv3799OWXXyonJ0d16tSRw+FQu3bttH37drvL9IqtW7eqUaNGGjx4sAYNGqRbbrnF5z8bPh3s6enp8vf3L1x2uVzKy8uzsSLv69Kli9zus2dULMuSw+GQJFWoUEFpaWl2leZ1FSpUkL+/v9LT0zVs2DCNGDGiVPdDktxut8aOHaspU6aoS5cupbYfa9euVVBQUOFAQCrdvyvlypXTgAED9PLLL2vy5Ml66qmnVL58+cLtpakfKSkp2r17t+bNm6fJkydr9OjRPv/Z8Olz7P7+/srIyChcLigoKBJypdFvzwNlZGQoICDAxmq879ixYxo8eLD69Omj7t27a9asWYXbSmM/pDMj1dGjR+u+++5TdnZ24frS1I81a9bI4XBo+/btiomJ0dixY5WcnFy4vTT1QpLq16+vunXryuFwqH79+qpYsaJOnjxZuL009SMwMFBhYWEqU6aMwsLCVLZsWR0/frxwuy/2wqdH7C1bttSWLVskSd98840aNWpkc0X2u+qqqxQVFSVJ2rJli1q1amVzRd6TmJio/v37a8yYMerVq5ek0t2PdevWafHixZKk8uXLy+Fw6JprrimV/XjjjTe0cuVKrVixQk2bNtWMGTPUvn37UtkLSXrnnXf03HPPSZJOnDihzMxMeTwe/fTTT7IsS1u3bi01/bj++uv1+eefy7Kswl7ceOONPv3Z8Ok7z/16Vfy+fftkWZamT5+u8PBwu8vyuiNHjmjUqFFavXq1Dh06pEmTJik3N1dhYWGaOnWqXC6X3SV6xdSpU7Vp0yaFhYUVrpswYYKmTp1aKvtx+vRpPfXUU0pMTFReXp4eeeQRhYeHl9rPx6/69u2ryMhIOZ3OUtuLnJwcPfXUUzp69KgcDodGjx4tp9Op6dOnKz8/X+3atdPIkSPtLtNrZs6cqaioKFmWpZEjR6pWrVo+/dnw6WAHAABF+fRUPAAAKIpgBwDAIAQ7AAAGIdgBADAIwQ4AgEEIdgAADEKwAwBgEIIdwCVbtWqVIiMjC5fnzp2rMWPG2FcQgEIEO4BL1rNnT3366adKTU3Vp59+qs8++6zwSXIA7MWd5wD8KTNnzlRmZqa2bNmiV155RXXq1LG7JAAi2AH8ST/88IO6deumRYsWqWPHjnaXA+AXTMUD+FMWLVqkoKAg5efn210KgN8g2AFcsuXLlys7O1vPP/+8Xn/9dbvLAfAbBDuAS7J9+3atXbtWzz33nCIiIpSenq6YmBi7ywLwC4IdwB929OhRTZw4UfPmzZO/v78kqV+/fnrttddsrgzAr7h4DgAAgzBiBwDAIAQ7AAAGIdgBADAIwQ4AgEEIdgAADEKwAwBgEIIdAACDEOwAABjk/wGqKF18+qbhcgAAAABJRU5ErkJggg==\n",
|
|
"text/plain": [
|
|
"<Figure size 576x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Displaying values in the stacked horizontal bars using plt.text()\n",
|
|
"plt.style.use('seaborn-darkgrid')\n",
|
|
"x1= ['Asif','Basit','Ravi','Minil'] \n",
|
|
"y1= [17,18,29,40]\n",
|
|
"y2 = [20,21,22,23]\n",
|
|
"plt.figure(figsize=(8,5))\n",
|
|
"plt.barh(x1,y1,label = \"Open Tickets\",color = '#FF6F00')\n",
|
|
"plt.barh(x1,y2,label = \"Closed Tickets\", left = y1 , color = '#FFB300')\n",
|
|
"plt.xlabel('$X$')\n",
|
|
"plt.ylabel('$Y$')\n",
|
|
"\n",
|
|
"for x,y in zip(x1,y1):\n",
|
|
" plt.text(y-10, x, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
" \n",
|
|
"for x,y,z in zip(x1,y2,y1):\n",
|
|
" plt.text(y+z-10, x, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
" \n",
|
|
"plt.title ('$Bar $ $ Chart$')\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 302,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 504x648 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"# Displaying values at the top of the Grouped Bar Chart using plt.text()\n",
|
|
"plt.figure(figsize=(7,9))\n",
|
|
"\n",
|
|
"# set width of bar\n",
|
|
"barWidth = 0.25\n",
|
|
" \n",
|
|
"# set height of bar\n",
|
|
"y1= np.array([17,18,29,40])\n",
|
|
"y2 =np.array([20,21,22,23])\n",
|
|
"y3 =np.array([5,9,11,12])\n",
|
|
" \n",
|
|
"# Set position of bar on X axis\n",
|
|
"pos1 = np.arange(len(y1))\n",
|
|
"pos2 = [x + barWidth for x in pos1]\n",
|
|
"pos3 = [x + barWidth for x in pos2]\n",
|
|
"\n",
|
|
"# Make the plot\n",
|
|
"plt.bar(pos1, y1, color='#FBC02D', width=barWidth, label='Open')\n",
|
|
"plt.bar(pos2, y2, color='#F57F17', width=barWidth, label='Closed')\n",
|
|
"plt.bar(pos3, y3, color='#E65100', width=barWidth, label='Cancelled')\n",
|
|
"\n",
|
|
"# Add xticks on the middle of the group bars\n",
|
|
"plt.xlabel('Assignee', fontweight='bold')\n",
|
|
"plt.ylabel('Number of Tickets', fontweight='bold')\n",
|
|
"plt.xticks([i + barWidth for i in range(len(y1))], ['Asif', 'Basit', 'Ravi', 'Minil'])\n",
|
|
"\n",
|
|
"for x,y in zip(pos1,y1):\n",
|
|
" plt.text(x, y, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
" \n",
|
|
"for x,y in zip(pos2,y2):\n",
|
|
" plt.text(x, y, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
"\n",
|
|
"for x,y in zip(pos3,y3):\n",
|
|
" plt.text(x, y, '%d' % y, ha='center' , va= 'bottom')\n",
|
|
"\n",
|
|
"plt.title ('$Grouped $ $ Bar $ $ Chart$')\n",
|
|
"\n",
|
|
"# Create legend & Show graphic\n",
|
|
"plt.legend()\n",
|
|
"plt.show()"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.7.0"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|