mirror of
https://github.com/jupyter-naas/awesome-notebooks.git
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252 lines
5.2 KiB
Plaintext
252 lines
5.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "tropical-breakfast",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"<img width=\"8%\" alt=\"Excel.png\" src=\"https://raw.githubusercontent.com/jupyter-naas/awesome-notebooks/master/.github/assets/logos/Excel.png\" style=\"border-radius: 15%\">"
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]
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},
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{
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"cell_type": "markdown",
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"id": "danish-allergy",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"# Excel - Read file\n",
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"<a href=\"https://bit.ly/3JyWIk6\">Give Feedback</a> | <a href=\"https://github.com/jupyter-naas/awesome-notebooks/issues/new?assignees=&labels=bug&template=bug_report.md&title=Excel+-+Read+file:+Error+short+description\">Bug report</a>"
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]
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},
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{
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"cell_type": "markdown",
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"id": "978e5e32-8839-4b39-abb7-f5e8bda9f313",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Tags:** #excel #pandas #read #finance #snippet #dataframe"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1bf0834d-3a8e-4f4a-98ee-fdbcc2ee650f",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Author:** [Florent Ravenel](https://www.linkedin.com/in/ACoAABCNSioBW3YZHc2lBHVG0E_TXYWitQkmwog/)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "51bab36c-8a23-4df8-883b-a22f10a8f3d7",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"**Last update:** 2023-04-12 (Created: 2021-02-28)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "naas-description",
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"metadata": {
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"papermill": {},
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"tags": [
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"description"
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]
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},
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"source": [
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"**Description:** This notebook reads an Excel file and allows users to manipulate the data within it."
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]
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},
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{
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"cell_type": "markdown",
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"id": "surgical-birmingham",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Input"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2112a917-9ba5-4ed3-b7c1-f204f0aca263",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Import libraries"
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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": null,
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"id": "f7876579-4803-4130-b095-497225f417f7",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"outputs": [],
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"source": [
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"import pandas as pd"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6ae0fb10-e3c2-4ced-bd32-c2112195dc24",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Variables"
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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": null,
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"id": "0e204bc4-efbf-4dc5-b947-9fe568724fc6",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"outputs": [],
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"source": [
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"excel_file_path = \"Excel-Sales_Jan2020.xlsx\""
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]
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},
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{
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"cell_type": "markdown",
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"id": "4b24dceb-ed1e-4af9-af4e-48f592e2438b",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Model"
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]
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},
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{
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"cell_type": "markdown",
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"id": "656610e2-5595-429c-ae1e-ccb1d32671d7",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Read excel"
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]
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},
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{
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"cell_type": "markdown",
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"id": "f08eea54-87b0-4aba-8c5a-2a856c9ed8ca",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-02-22T07:35:00.624021Z",
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"iopub.status.busy": "2022-02-22T07:35:00.623743Z",
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"iopub.status.idle": "2022-02-22T07:35:00.632235Z",
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"shell.execute_reply": "2022-02-22T07:35:00.631300Z",
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"shell.execute_reply.started": "2022-02-22T07:35:00.623996Z"
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},
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"papermill": {},
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"tags": []
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},
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"source": [
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"You want to add more parameters ?<br>\n",
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"👉 Check out the pandas documentation <a href=\"https://pandas.pydata.org/docs/reference/api/pandas.read_excel.html\">here</a>."
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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": null,
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"id": "hawaiian-consortium",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"outputs": [],
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"source": [
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"df = pd.read_excel(excel_file_path)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "expired-target",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"## Output"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6a76ae5d-9117-420f-84f4-49ab28e4a8f3",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"source": [
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"### Display result"
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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": null,
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"id": "agreed-correspondence",
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"metadata": {
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"papermill": {},
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"tags": []
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},
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"outputs": [],
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"source": [
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"df"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.8"
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},
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"naas": {
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"notebook_id": "32e6a2bbb504fb622cc153607a48c61677401ab357a4d2117b6b3820be4fbd69",
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"notebook_path": "Excel/Excel_Read_file.ipynb"
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},
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"papermill": {
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"default_parameters": {},
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"environment_variables": {},
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"parameters": {},
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"version": "2.3.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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} |