Create Empty Dataframe in Pandas specifying column types

Question

I\'m trying to create an empty data frame with an index and specify the column types. The way I am doing it is the following:

df = pd.DataFrame(index=[\'pbp\         


        

Answer 1

Create Empty Dataframe in Pandas specifying column types

I think this is perfect!!

import pandas as pd

c1 = pd.Series(data=None, dtype='string', name='c1')
c2 = pd.Series(data=None, dtype='bool', name='c2')
c3 = pd.Series(data=None, dtype='float', name='c3')
c4 = pd.Series(data=None, dtype='int', name='c4')

df = pd.concat([c1, c2, c3, c4], axis=1)

df.info('verbose')

We create columns as Series and give them the correct dtype, then we concat de Series into a DataFrame, and that's it

We have the DataFrame constructor with dtypes!

Index: 0 entries
Data columns (total 4 columns):
 #   Column  Non-Null Count  Dtype  
---  ------  --------------  -----  
 0   c1      0 non-null      string 
 1   c2      0 non-null      bool   
 2   c3      0 non-null      float64
 3   c4      0 non-null      int32  
dtypes: bool(1), float64(1), int32(1), string(1)
memory usage: 0.0+ bytes