Stop Pandas from converting int to float

Question

I have a DataFrame. Two relevant columns are the following: one is a column of int and another is a column of str.

I understa

Answer 1

As of pandas 1.0.0 I believe you have another option, which is to first use convert_dtypes. This converts the dataframe columns to dtypes that support pd.NA, avoiding the issues with NaN/None.

...

df = df.convert_dtypes()
df.loc[1] = [1, None]
print(df)

#   int   str
# 0   0  zero
# 1   1  NaN