How to append/concat pandas dataframes of stock prices into one large dataframe?

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by elvis , in category: Technical Analysis , a month ago

How to append/concat pandas dataframes of stock prices into one large dataframe?

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1 answer

by sherman.carter , a month ago

@elvis 

To append or concatenate pandas dataframes of stock prices into one large dataframe, you can use the pd.concat() function. Here's the step-by-step approach:

  1. First, import the necessary libraries:
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import pandas as pd


  1. Create individual dataframes for each stock price:
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df1 = pd.read_csv('stock1.csv')
df2 = pd.read_csv('stock2.csv')
df3 = pd.read_csv('stock3.csv')


  1. Concatenate the dataframes using pd.concat():
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df_combined = pd.concat([df1, df2, df3], axis=0)


Note: The axis=0 parameter tells pd.concat() to concatenate the dataframes along the rows.

  1. Verify the merged dataframe by printing the combined result:
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print(df_combined)


By following these steps, you will be able to append or concatenate pandas dataframes of stock prices into one large dataframe.