import pandas as pd
data = {
"age": ["fifty", 40, 30],
"qualified": ["No", True, False]
}
df = pd.DataFrame(data)
print("Original DataFrame:")
print(df)
print("Original dtypes:")
print(df.dtypes)
#Remove the first row in both colums:
df = df.iloc[1:]
print("New DataFrame:")
print(df)
newdf = df.infer_objects()
print("New dtypes:")
print(newdf.dtypes)
Original DataFrame: age qualified 0 fifty No 1 40 True 2 30 False Original dtypes: age object qualified object dtype: object New DataFrame: age qualified 1 40 True 2 30 False New dtypes: age int64 qualified bool dtype: object