Python Numpy Quiz

np.sqrt(arr)

arr.sqrt()

np.square_root(arr)

arr.square_root()

df.save_csv("filename.csv")

df.write_csv("filename.csv")

df.to_csv("filename.csv")

df.export_csv("filename.csv")

df.resample()

df.time_resample()

df.groupby("time_column").resample()

df.time_groupby().resample()

To melt a DataFrame into a longer format

To create a melted cheese plot

To melt a DataFrame into a wider format

To melt a DataFrame into a binary format

Use the df.drop_duplicates() method

Use the df.remove_duplicates() method

Use the df.drop_duplicate_rows() method

Use the df.eliminate_duplicates() method

Use df.fillna(value) to replace missing values

Use df.dropna() to remove rows with missing values

Both A and B

Neither A nor B

df.concat()

df.join()

df.merge()

df.combine()

normalized_arr = (arr - arr.min()) / (arr.max() - arr.min())

normalized_arr = np.scale(arr)

normalized_arr = arr.normalize()

normalized_arr = (arr - arr.mean()) / arr.std()

mean_values = np.mean(arr, axis=1)

mean_values = arr.mean(axis=0)

mean_values = np.average(arr, axis=1)

mean_values = arr.mean(axis=2)

intersection = np.intersect(a, b)

intersection = np.common(a, b)

intersection = np.intersect1d(a, b)

intersection = a.intersection(b)