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Plot Facebook Prophet without model
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import matplotlib as mlp | |
import pandas as pd | |
mlp.use("agg") | |
from matplotlib import pyplot as plt | |
from matplotlib.dates import ( | |
MonthLocator, | |
num2date, | |
AutoDateLocator, | |
AutoDateFormatter, | |
) | |
# Equivalent code with model.plot() | |
# https://github.com/facebook/prophet/blob/ca9a49d328ab1f2a991f246a3ebc37a7f9c896c5/python/fbprophet/plot.py#L41-L88 | |
# Assuming `df` is predicion results and `df_prev` is training data. | |
def plot(df, df_prev, xlabel='ds', ylabel='y'): | |
fig = plt.figure(facecolor="w", figsize=(10,6)) | |
ax = fig.add_subplot(111) | |
fcst_t = pd.to_datetime(df["ds"]) | |
ax.plot(pd.to_datetime(df_prev["ds"]), df_prev["y"], "k.") | |
ax.plot(fcst_t, df["yhat"], ls="-", c="#0072B2") | |
if "cap" in df: | |
ax.plot(fcst_t, df["cap"], ls="--", c="k") | |
if "floor" in df: | |
ax.plot(fsct_t, df["floor"], ls="--", c="k") | |
ax.fill_between(fcst_t, df["yhat_lower"], df["yhat_upper"], color="#0072B2", alpha=0.2) | |
locator = AutoDateLocator(interval_multiples=False) | |
formatter = AutoDateFormatter(locator) | |
ax.xaxis.set_major_locator(locator) | |
ax.xaxis.set_major_formatter(formatter) | |
ax.grid(True, which='major', c='gray', ls='-', lw=1, alpha=0.2) | |
ax.set_xlabel(xlabel) | |
ax.set_ylabel(ylabel) | |
fig.tight_layout() | |
return fig | |
plot(df_pred, df_orig) |
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