<jupyter_start><jupyter_text>直方图<jupyter_code>(ggplot(df, aes(x = "MXSPD", fill = "Location")) +
    geom_histogram(binwidth = 1, alpha = 0.55, colour = "black", size = 0.25) +
    scale_fill_hue(s = 0.90, l = 0.65, h = 0.0417, color_space = "husl")
)<jupyter_output><empty_output><jupyter_text>核密度估计图<jupyter_code>(ggplot(df, aes(x = "MXSPD", fill = "Location")) +
     geom_density(bw = 1, alpha = 0.55, colour = "black", size = 0.25) +
     scale_fill_hue(s = 0.90, l = 0.65, h = 0.0417, color_space = "husl")
)<jupyter_output><empty_output><jupyter_text>峰峦图<jupyter_code>df = pd.read_csv("../data/lincoln_weather.csv")
df
df.columns
Categories = ["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"]
month = pd.api.types.CategoricalDtype(categories = Categories, ordered = True)
df["Month"] = df["Month"].astype(month)

fig, axes = joypy.joyplot(
    df, 
    column = ["Mean.Temperature..F."], 
    by = "Month", 
    ylim = "own", 
    colormap = cm.Spectral, 
    alpha = 0.9, 
    figsize = (6, 5)
)
plt.xlabel("Mean Temperature")
plt.ylabel("Month")<jupyter_output><empty_output>
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