Article Outline
Python matplotlib example 'batch matplotlib diagram dump'
Modules used in program:
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
python batch matplotlib diagram dump
Python matplotlib example: batch matplotlib diagram dump
from glob import glob
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_style("darkgrid")
sns.set(rc = {"figure.figsize": (20, 10)})
sns.set(rc = {"figure.titlesize": "start-large"})
filename_wildcard = '*.gz'
df = pd.concat(
[pd.read_csv(fn, parse_dates = True, index_col = "timestamp") for fn in glob(filename_wildcard)],
sort = True,
)
# df = df[tags]
df.sort_index(inplace = True)
from glob import glob
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_style("darkgrid")
sns.set(rc = {"figure.figsize": (20, 10)})
filename_wildcard = '*.gz'
df = pd.concat(
[pd.read_csv(fn, parse_dates = True, index_col = "timestamp") for fn in glob(filename_wildcard)],
sort = True,
)
df.sort_index(inplace = True)
_30_mins = 1_800
min_value_count = 1000
tag = '01_dv_01_si_daca_pv'
threshold = 2
first, last = 0, -1
sub_direction = 'diagrams'
diagram_prefix = '01'
for idx, (start, end) in enumerate(zip(range(0, len(df), _30_mins), range(_30_mins, len(df), _30_mins))):
plt.figure()
ax = None
data = df[tag].iloc[start:end]
if len(data[data > threshold]) > min_value_count:
start_time = str(df.iloc[start:end].index[first])
end_time = str(df.iloc[start:end].index[last])
ax = (df[tag].iloc[start:end].plot(title =
f'Figure {idx} \n Start: {start_time} \n End: {end_time}'))
ax.title.set_size(18)
ax.set_xlabel("Time (1 second Samples)")
ax.set_ylabel("DV01 Speed RPM")
start_time_str = start_time.replace('-', '_').replace(':', '_')
end_time_str = end_time.replace('-', '_').replace(':', '_')
plt.savefig(f'{sub_direction}/week_{diagram_prefix}_fig_{idx}_start_{start_time_str}_end_{end_time_str}.png')
Python links
- Learn Python: https://pythonbasics.org/
- Python Tutorial: https://pythonprogramminglanguage.com