'How to delete all rows in a dataframe?
I want to delete all the rows in a dataframe.
The reason I want to do this is so that I can reconstruct the dataframe with an iterative loop. I want to start with a completely empty dataframe.
Alternatively, I could create an empty df from just the column / type information if that is possible
Solution 1:[1]
Here's another method if you have an existing DataFrame that you'd like to empty without recreating the column information:
df_empty = df[0:0]
df_empty is a DataFrame with zero rows but with the same column structure as df
Solution 2:[2]
If you have an existing DataFrame with the columns you want then extract the column names into a list comprehension then create an empty DataFrame with your column names.
# Creating DataFrame from a CSV file with desired headers
csv_a = "path/to/my.csv"
df_a = pd.read_csv(csv_a)
# Extract column names into a list
names = [x for x in df_a.columns]
# Create empty DataFrame with those column names
df_b = pd.DataFrame(columns=names)
Solution 3:[3]
df.drop(df.index,inplace=True)
This line will delete all rows, by keeping the column names.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | ashishsingal |
| Solution 2 | |
| Solution 3 |
