tra-analysis/data analysis/visualize_pit.py

# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import matplotlib.pyplot as plt
import data as d
import pymongo


# %%
def get_pit_variable_data(apikey, competition):
    client = pymongo.MongoClient(apikey)
    db = client.data_processing
    mdata = db.team_pit
    out = {}
    return mdata.find()


# %%
def get_pit_variable_formatted(apikey, competition):
    temp = get_pit_variable_data(apikey, competition)
    out = {}
    for i in temp:
        out[i["variable"]] = i["data"]
    return out


# %%
pit = get_pit_variable_formatted("mongodb+srv://api-user-new:titanscout2022@2022-scouting-4vfuu.mongodb.net/test?authSource=admin&replicaSet=2022-scouting-shard-0&readPreference=primary&appname=MongoDB%20Compass&ssl=true", "2020ilch")


# %%
import matplotlib.pyplot as plt
import numpy as np


# %%
fig, ax = plt.subplots(1, len(pit), sharey=True, figsize=(80,15))

i = 0

for variable in pit:

    ax[i].hist(pit[variable])
    ax[i].invert_xaxis()

    ax[i].set_xlabel('')
    ax[i].set_ylabel('Frequency')
    ax[i].set_title(variable)

    plt.yticks(np.arange(len(pit[variable])))

    i+=1

plt.show()


# %%