To get the row count of a Pandas DataFrame, you can use the shape attribute or the len() function. Here are examples of both methods:
Using the shape attribute:
python
import pandas as pd
# Create a sample DataFrame
data = {'Column1': [1, 2, 3, 4, 5],
'Column2': ['A', 'B', 'C', 'D', 'E']}
df = pd.DataFrame(data)
# Get the row count using the shape attribute
row_count = df.shape[0]
print("Row count:", row_count)
In this example, the shape attribute of the DataFrame df returns a tuple where the first element is the number of rows, so df.shape[0] gives you the row count.
Using the len() function:
python
import pandas as pd
# Create a sample DataFrame
data = {'Column1': [1, 2, 3, 4, 5],
'Column2': ['A', 'B', 'C', 'D', 'E']}
df = pd.DataFrame(data)
# Get the row count using the len() function
row_count = len(df)
print("Row count:", row_count)
In this example, you can directly use the len() function on the DataFrame df to obtain the row count.
Both methods will give you the number of rows in the DataFrame.
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