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# Explore PCA

```python

import scgenome
import matplotlib.pyplot as plt

adata = scgenome.datasets.OV2295_HMMCopy_reduced()

```

```python

pcadata = scgenome.tl.pca_loadings(adata, layer=None)

fig = plt.figure(figsize=(20, 4))
scgenome.pl.plot_cn_profile(
    pcadata, 'PC1',
    value_layer_name=None)

fig = plt.figure(figsize=(20, 4))
scgenome.pl.plot_cn_profile(
    pcadata, 'PC2',
    value_layer_name=None)

fig = plt.figure(figsize=(20, 4))
scgenome.pl.plot_cn_profile(
    pcadata, 'PC3',
    value_layer_name=None)

fig = plt.figure(figsize=(20, 4))
scgenome.pl.plot_cn_profile(
    pcadata, 'PC4',
    value_layer_name=None)

```

```python

pcadata

```

```python

```