Note that 10 and NaN are not strings, therefore they are converted to NaN. The minus sign in '-1' is treated as a special character and the zero is added to the right of it (str.zfill() would have moved it to the left).

May 20, 2026 - Pandas Series: str.zfill() function: The str.zfill() function is used to pad strings in the Series/Index by prepending '0' characters.

September 21, 2018 - In this example, a width of 8 is set and zeroes are prefixed to Salary column using zfill() method. Since the Salary column has data type of int64, it's converted to string first using astype() method. ... # importing pandas import pandas as pd # making data frame from csv at url data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/employees.csv") # converting to string dtype data["Salary"]= data["Salary"].astype(str) # width of output string width = 10 # calling method and overwriting series data["Salary"]= data["Salary"].str.zfill(width) # display data Output: As shown in the output image, zeroes have been prefixed and length of every string in salary column is 10 now.

Note that 10 and NaN are not strings, therefore they are converted to NaN. The minus sign in '-1' is treated as a special character and the zero is added to the right of it (str.zfill() would have moved it to the left).

April 12, 2025 - pandas zfill is primarily used to pad strings with zeros, ensuring a uniform format across your data. ... Simply apply the str.zfill() method to the string column of your DataFrame.

April 19, 2024 - It’s important to note that this function only works with string variables. If you attempt to use the function with a numeric column, you will receive a TypeError because the function only works with strings. It’s also important to note that this function only works on pandas Series.

Note that NaN is not a string, therefore it is converted to NaN. The minus sign in ‘-1’ is treated as a regular character and the zero is added to the left of it (str.zfill() would have moved it to the left).

October 17, 2024 - zfill() function fills the character column with leading zeros.

Note that 10 and NaN are not strings, therefore they are converted to NaN. The minus sign in '-1' is treated as a regular character and the zero is added to the left of it (str.zfill() would have moved it to the left).

December 16, 2022 - There may be times when you want your Pandas dataframes’ values to be left-padded with zeros. Pandas actually implements the zfill method directly in a Pandas dataframe, meaning that we can apply the function in a vectorized format.

Note that 10 and NaN are not strings, therefore they are converted to NaN. The minus sign in '-1' is treated as a special character and the zero is added to the right of it (str.zfill() would have moved it to the left).

To add leading zeros to strings of a column in Pandas, use the Series' str.zfill(~) method.

December 21, 2020 - pandasdf[“Col1”]= pandasdf[“Col1”].astype(str) width = 5 pandasdf[“Col1”]= pandasdf[“Col1”].str.zfill(width)

import pandas as pd from numba import njit @njit def series_str_zfill(): series = pd.Series(['dog', 'foo', 'bar']) # Series of 'dog', 'foo', 'bar' out_series = series.str.zfill(5) return out_series # Expect series of '00dog', '00foo', '00bar' print(series_str_zfill())

Note that 10 and NaN are not strings, therefore they are converted to NaN. The minus sign in '-1' is treated as a special character and the zero is added to the right of it (str.zfill() would have moved it to the left).

Filling left side of strings in the Series/Index with 0. Equivalent to str.zfill().

Note that NaN is not a string, therefore it is converted to NaN. The minus sign in ‘-1’ is treated as a regular character and the zero is added to the left of it (str.zfill() would have moved it to the left).

July 4, 2026 - If the string contains a sign character ... access this function through the .str accessor on a Series. This allows you to apply string methods element-wise across an entire column or Series of string data....

Filling left side of strings in the Series/Index with 0. Equivalent to str.zfill().