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Seaborn Histgram IMU data plot
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import pandas as pd | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
# Gyro CSV読み込み | |
df = pd.read_csv("imu_gyro.csv",sep=",", header=None, names=['gnum','gyX','gyY','gyZ']) | |
#df.columns = ["x","y","z"] | |
print(df) | |
print(len(df.columns)) | |
print (df.info()) | |
#sns.pairplot(df, hue='gyX') | |
#plt.tight_layout() | |
#plt.show() | |
print(df[df['gnum']==1]) | |
# gnum=1 Histgram | |
fig, ax=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
ax = sns.histplot(data = df[df['gnum']==1],x='gyX',kde=True) | |
ax = sns.histplot(data = df[df['gnum']==1],x='gyY',kde=True) | |
ax = sns.histplot(data = df[df['gnum']==1],x='gyZ',kde=True) | |
ax.set_xlabel("gyX,gyY,yZ") | |
ax.set_ylabel("count") | |
ax.set_title("Histgram gnum=1 gyXYZ") | |
# gnum=2 Histgram | |
fig, bx=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
bx = sns.histplot(data = df[df['gnum']==2],x='gyX',kde=True) | |
bx = sns.histplot(data = df[df['gnum']==2],x='gyY',kde=True) | |
bx = sns.histplot(data = df[df['gnum']==2],x='gyZ',kde=True) | |
bx.set_xlabel("gyX,gyY,yZ") | |
bx.set_ylabel("count") | |
bx.set_title("Histgram gnum=2 gyXYZ") | |
# gnum=3 Histgram | |
fig, cx=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
cx = sns.histplot(data = df[df['gnum']==3],x='gyX',kde=True) | |
cx = sns.histplot(data = df[df['gnum']==3],x='gyY',kde=True) | |
cx = sns.histplot(data = df[df['gnum']==3],x='gyZ',kde=True) | |
cx.set_xlabel("gyX,gyY,yZ") | |
cx.set_ylabel("count") | |
cx.set_title("Histgram gnum=3 gyXYZ") | |
plt.show() | |
# Acc CSV読み込み | |
df = pd.read_csv("imu_acc.csv",sep=",", header=None, names=['gnum','acX','acY','acZ']) | |
#df.columns = ["x","y","z"] | |
print(df) | |
print(len(df.columns)) | |
print (df.info()) | |
#sns.pairplot(df, hue='gyX') | |
#plt.tight_layout() | |
#plt.show() | |
print(df[df['gnum']==1]) | |
# gnum=1 Histgram | |
fig, ax=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
dx = sns.histplot(data = df[df['gnum']==1],x='acX',kde=True) | |
dx = sns.histplot(data = df[df['gnum']==1],x='acY',kde=True) | |
dx = sns.histplot(data = df[df['gnum']==1],x='acZ',kde=True) | |
dx.set_xlabel("acX,acY,acZ") | |
dx.set_ylabel("count") | |
dx.set_title("Histgram gnum=1 acXYZ") | |
# gnum=2 Histgram | |
fig, bx=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
ex = sns.histplot(data = df[df['gnum']==2],x='acX',kde=True) | |
ex = sns.histplot(data = df[df['gnum']==2],x='acY',kde=True) | |
ex = sns.histplot(data = df[df['gnum']==2],x='acZ',kde=True) | |
ex.set_xlabel("acX,acY,acZ") | |
ex.set_ylabel("count") | |
ex.set_title("Histgram gnum=2 acXYZ") | |
# gnum=3 Histgram | |
fig, cx=plt.subplots(1,1,dpi = 300) | |
#ax = sns.histplot(data = df[df['gnum']==1],x = "gyX") | |
fx = sns.histplot(data = df[df['gnum']==3],x='acX',kde=True) | |
fx = sns.histplot(data = df[df['gnum']==3],x='acY',kde=True) | |
fx = sns.histplot(data = df[df['gnum']==3],x='acZ',kde=True) | |
fx.set_xlabel("acX,acY,acZ") | |
fx.set_ylabel("count") | |
fx.set_title("Histgram gnum=3 acXYZ") | |
plt.show() |
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