Python replace_zero_with_average 예제들

예제 #1

plt.rcParams.update({'font.size': 16})
plt.rcParams['text.latex.preamble'] = [r"\usepackage{amsmath}"]
plt.rcParams['text.latex.preamble'] = [r"\usepackage{bm}"]

# =============================================================================
# Import data
# =============================================================================
no2, nox, pm10, meteo, time = import_data.import_data()

# =============================================================================
# Pre-processing
# =============================================================================
no2 = np.array(no2).reshape(5, -1)

# Replace zeros with average
no2 = functions.replace_zero_with_average(no2)

# Log-normal transform
no2_transformed = functions.log_normal(no2)

# =============================================================================
# Configuration
# =============================================================================
time_test = np.arange('2014-03-11', '2014-03-12', dtype='datetime64[h]')

time_train = np.arange('2006-01-01', '2013-01-01', dtype='datetime64[h]')

index_test = np.arange(
    np.where(time == time_test[0])[0],
    np.where(time == time_test[-1])[0] + 1)
index_train = np.arange(

예제 #2

파일: demo_nn_pm10_holiday.py 프로젝트: xiumingliu/air-pollution-analysis

plt.rcParams['text.latex.preamble'] = [r"\usepackage{amsmath}"]
plt.rcParams['text.latex.preamble'] = [r"\usepackage{bm}"]

# =============================================================================
# Import data
# =============================================================================
no2, nox, pm10, meteo, time = import_data.import_data()

# =============================================================================
# Pre-processing
# =============================================================================
pm10 = np.array(pm10).reshape(5, -1)
meteo = np.array(meteo).reshape(5, -1)

# Replace zeros with average
pm10 = functions.replace_zero_with_average(pm10)

# Log-normal transform
pm10_transformed = functions.log_normal(pm10)

# =============================================================================
# Configuration
# =============================================================================
time_test_output = np.arange('2014-03-15', '2014-03-16', dtype='datetime64[h]')
time_test_input = np.arange('2014-03-14', '2014-03-15', dtype='datetime64[h]')

time_train_output = np.arange('2006-01-02',
                              '2013-01-01',
                              dtype='datetime64[h]')
time_train_input = np.arange('2006-01-01', '2012-12-31', dtype='datetime64[h]')