Try the figsize parameter in df.plot(figsize=(width,height)) : df = pd.DataFrame({"a":[1,2],"b":[1,2]}) df.plot(figsize=(3,3));. ... <看更多>

... <看更多>

In order to visualize data from a Pandas DataFrame , you must extract each ... data = np.random.multivariate_normal([0, 0], [[5, 2], [2, 2]], size=2000) ... ... <看更多>

y: Name of column or list of names of columns to use for the vertical y-axis. figsize: Choose width & height of the plot. title: Sets title of the plot. xlim/ ... ... <看更多>

To reduce the repetitions you could make use of lists by doing something like: labels = ['AWA', 'REM', 'S1', 'S2', 'SWS', 'stades'] rows = [] for label in ... ... <看更多>