How do I get the row count of a Pandas DataFrame?

Question

I'm trying to get the number of rows of dataframe df with Pandas, and here is my code.

Method 1:

total_rows = df.count print total_rows + 1 

Method 2:

total_rows = df['First_column_label'].count print total_rows + 1 

Both the code snippets give me this error:

TypeError: unsupported operand type(s) for +: 'instancemethod' and 'int'

What am I doing wrong?

Answer 1

For a dataframe df, one can use any of the following:

• len(df.index)
• df.shape[0]
• df[df.columns[0]].count() (== number of non-NaN values in first column)

---

Code to reproduce the plot:

import numpy as np import pandas as pd import perfplot  perfplot.save(     "out.png",     setup=lambda n: pd.DataFrame(np.arange(n * 3).reshape(n, 3)),     n_range=[2**k for k in range(25)],     kernels=[         lambda df: len(df.index),         lambda df: df.shape[0],         lambda df: df[df.columns[0]].count(),     ],     labels=["len(df.index)", "df.shape[0]", "df[df.columns[0]].count()"],     xlabel="Number of rows", ) 

Answer 2

Suppose df is your dataframe then:

count_row = df.shape[0]  # Gives number of rows count_col = df.shape[1]  # Gives number of columns 

Or, more succinctly,

r, c = df.shape