import pandas as pd # Read excel file with sheet name dict_df = pd.read_excel('c:/apps/courses_schedule.xlsx', sheet_name=['Technologies','Schedule']) Since we are reading two sheets from excel, this function returns Dict of DataFrame. You can get the DataFrames from Dict as follows...
df again corresponds to the DataFrame with the same data as before. You can give the other compression methods a try, as well. If you’re using pickle files, then keep in mind that the .zip format supports reading only. Remove ads Choose Columns The pandas read_csv() and read_excel()...
It is possible in Python language as it has a special method dedicated to reading a dta file into the basic structure of the Pandas library – a data frame. Transportability of different file structures like Excel, Stata, and SPSS is achieved by using the most important library of the ...
If not, run the following pip command to install the Pandas python package on your computer. pip install openpyxl Now, to work with Excel file functions in Python, you need to install the openpyxl module using the below pip command. pip install openpyxl You can write the DataFrame to ...
Python code to modify a subset of rows # Applying condition and modifying# the column valuedf.loc[df.A==0,'B']=np.nan# Display modified DataFrameprint("Modified DataFrame:\n",df) Output The output of the above program is: Python Pandas Programs »...
How to Map True/False to 1/0 in a Pandas DataFrame? How to perform random row selection in Pandas DataFrame? How to display Pandas DataFrame of floats using a format string for columns? How to read specific sheet content when there are multiple sheets in an excel file?
Read an Excel file using Pandas As programmers can write an excel file in Python, they can do the opposite, i.e., read the data from that excel spreadsheet and extract it into DataFrames. The easiest way to pack the contents of the excel file into a DataFrame is by calling theread_ex...
Name,Age,Salary Alfred,25,50000 William,30,45000 Nick,22,60000 We can use the read_csv() function to read this file and create a DataFrame: import pandas as pd # Reading the CSV file df = pd.read_csv('data.csv') print(df) Continue Reading...Next...
First, we need to import thepandas library: importpandasaspd# Import pandas library in Python Furthermore, have a look at the following example data: data=pd.DataFrame({'x1':[6,1,3,2,5,5,1,9,7,2,3,9],# Create pandas DataFrame'x2':range(7,19),'group1':['A','B','B','A...
Pandas transpose() function is used to transpose rows(indices) into columns and columns into rows in a given DataFrame. It returns transposed DataFrame by