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mca to pandas dataframe

main
Jeff Moe 2022-05-25 15:29:06 -06:00
parent 0751d99ec6
commit 1ea7cb81d8
1 changed files with 9 additions and 28 deletions
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witzit-load.py
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@ -17,44 +17,25 @@
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
# wz-load
# Load a sample from a SciAps LIBS
# witzit-load
# Load a sample from a SciAps LIBS or XRF
#
# Usage:
# witzit-load.py
# Example:
# witzit-load.py
import os
import json
import numpy as np
import pandas as pd
import datetime
import tensorflow as tf
import tensorflow.python.keras
import matplotlib.pyplot as plt
from tensorflow.keras.layers import Dense, Conv2D, Flatten, Dropout, MaxPooling2D
from tensorflow.python.keras import optimizers
from tensorflow.python.keras import Sequential
from tensorflow.python.keras.layers import Activation, Dropout, Flatten, Dense
from tensorflow.python.keras.layers import Convolution2D, MaxPooling2D, ZeroPadding2D
from tensorflow.python.keras.layers import Input, concatenate
from tensorflow.python.keras.models import load_model
from tensorflow.python.keras.models import Model
from keras.preprocessing import image
from keras.preprocessing.image import ImageDataGenerator
# from tensorflow.python.keras.utils import plot_model
from tensorflow.python.keras.callbacks import ModelCheckpoint
print("Tensorflow Version: ", tf.__version__)
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices("GPU")))
print("Num CPUs Available: ", len(tf.config.experimental.list_physical_devices("CPU")))
print(tf.config.experimental.list_physical_devices())
template = pd.read_csv('template/sciaps-x555.csv')
mca = pd.read_csv('examples/golden_buffalo.mca', skiprows=21)
file_url = "template/sciaps-x555.csv"
df=template.join(mca)
# Read with panda for now...
dataframe = pd.read_csv(file_url)
with pd.option_context('display.max_rows', None,
'display.max_columns', None,
):
print(df)
print(dataframe)